An offline Streamlit web application powered by Python, Pandas, and Scikit-Learn that automatically detects dataset types and normalizes numeric data securely without external APIs.
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Updated
Aug 19, 2026 - Python
An offline Streamlit web application powered by Python, Pandas, and Scikit-Learn that automatically detects dataset types and normalizes numeric data securely without external APIs.
The objective of this analysis was to explore potential correlations between player attributes (such as average age and weight across different positions) and key team performance metrics from the 2023 NFL season.
Database normalization
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